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• Privacy and Robustness in Federated Learning: Attacks and Defenses
  2020 · 46 citations
• A Novel Attribute Reconstruction Attack in Federated Learning
  2021 · 13 citations
• Towards Adversarially Robust Continual Learning
  2023 · 8 citations
• Threats, Attacks, and Defenses in Machine Unlearning: A Survey
  2024 · 4 citations
• PAPILLON: Efficient and Stealthy Fuzz Testing-Powered Jailbreaks for LLMs
  2024 · 3 citations
• Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs
  2021 · 2 citations
• AttackonCTF: Defending Hardware Security Competition Benchmarks in the Age of LLMs
  2026
• Plato's Form: Toward Backdoor Defense-as-a-Service for LLMs with Prototype Representations
  2026
• LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge
  2025
• RIDA: A Robust Attack Framework On Incomplete Graphs
  2024